---
base_model: OwaisAhmad/flant5-text2sql-model
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flant5-nltosql-wikisqlandspider
  results: []
---

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# flant5-nltosql-wikisqlandspider

This model is a fine-tuned version of [OwaisAhmad/flant5-text2sql-model](https://huggingface.co/OwaisAhmad/flant5-text2sql-model) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2761
- Rouge1: 0.6182
- Rouge2: 0.5007
- Rougel: 0.6013
- Rougelsum: 0.6012

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.5855        | 1.0   | 2332 | 0.4335          | 0.5753 | 0.4179 | 0.5575 | 0.5575    |
| 0.3011        | 2.0   | 4664 | 0.2983          | 0.6043 | 0.4777 | 0.5891 | 0.5890    |
| 0.1745        | 3.0   | 6996 | 0.2755          | 0.6091 | 0.4867 | 0.5917 | 0.5911    |
| 0.0873        | 4.0   | 9328 | 0.2761          | 0.6182 | 0.5007 | 0.6013 | 0.6012    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2